Results 11 to 20 of about 146,076 (279)

Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas [PDF]

open access: yesRemote Sensing, 2016
Monitoring of the human-induced changes and the availability of reliable and methodologically consistent urban area maps are essential to support sustainable urban development on a global scale.
Martino Pesaresi   +5 more
doaj   +3 more sources

Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine

open access: yesSensors, 2022
Crops and ecosystems constantly change, and risks are derived from heavy rains, hurricanes, droughts, human activities, climate change, etc. This has caused additional damages with economic and social impacts.
Fernando Pech-May   +3 more
doaj   +1 more source

SPECT/CT in Localization of Sentinel Lymph Node of Skin Tumors

open access: yesXiehe Yixue Zazhi, 2023
Objective  Sentinel node lymphoscintigraphy and biopsy is an essential procedure in theranostics of skin tumors.The aim of this study is to determine the role of SPECT/CT in localization of sentinel lymph node of skin tumors.
ZHU Shikun, ZHANG Shu, LUO Yaping
doaj   +1 more source

Volcanic Hot-Spot Detection Using SENTINEL-2: A Comparison with MODIS−MIROVA Thermal Data Series [PDF]

open access: yes, 2020
In the satellite thermal remote sensing, the new generation of sensors with high-spatial resolution SWIR data open the door to an improved constraining of thermal phenomena related to volcanic processes, with strong implications for monitoring ...
Cigolini, Corrado   +5 more
core   +1 more source

Trends in axillary surgery and clinical outcomes among breast cancer patients with sentinel node metastasis

open access: yesBreast, 2022
Background: There is a lack of studies examining the long-term trend and survival of axillary surgery for breast cancer patients with sentinel node metastasis, especially for the patients with 3–5 node metastases. Methods: Breast cancer patients with 1–5
Zongchao Gou   +3 more
doaj   +1 more source

Super-resolving multiresolution images with band-independant geometry of multispectral pixels [PDF]

open access: yes, 2016
A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2 satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from ...
Brodu, Nicolas
core   +5 more sources

A combination of Sentinel-1 RADAR and Sentinel-2 multispectral data improves classification of morphologically similar savanna woody plants

open access: yesEuropean Journal of Remote Sensing, 2022
The co-existence of diverse plant forms in densely vegetated savanna environments presents a challenge when mapping species diversity using single remotely sensed data type that carries either optical or structural information.
Emmanuel Fundisi   +2 more
doaj   +1 more source

Fusion of Sentinel-1 data with Sentinel-2 products to overcome non-favourable atmospheric conditions for the delineation of inundation maps

open access: yesEuropean Journal of Remote Sensing, 2020
729Sentinel-1 data are an alternative for monitoring flooded inland surfaces during cloudy periods. Supervised classification approaches with a single-trained model for the entire image demonstrate poor accuracy due to confusing backscatter conditions of
Ioannis Manakos   +2 more
doaj   +1 more source

Tropical Forest Top Height by GEDI: From Sparse Coverage to Continuous Data

open access: yesRemote Sensing, 2023
Estimating consistent large-scale tropical forest height using remote sensing is essential for understanding forest-related carbon cycles. The Global Ecosystem Dynamics Investigation (GEDI) light detection and ranging (LiDAR) instrument employed on the ...
Yen-Nhi Ngo   +3 more
doaj   +1 more source

Benchmark of machine learning methods for classification of a Sentinel-2 image [PDF]

open access: yes, 2016
Thanks to mainly ESA and USGS, a large bulk of free images of the Earth is readily available nowadays. One of the main goals of remote sensing is to label images according to a set of semantic categories, i.e. image classification.
Piragnolo, Marco   +2 more
core   +1 more source

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